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A survey on advanced persistent threats: Techniques, solutions, challenges, and research opportunities
Threats that have been primarily targeting nation states and their associated entities have
expanded the target zone to include the private and corporate sectors. This class of threats …
expanded the target zone to include the private and corporate sectors. This class of threats …
SoK: cryptojacking malware
Emerging blockchain and cryptocurrency-based technologies are redefining the way we
conduct business in cyberspace. Today, a myriad of blockchain and cryp-tocurrency …
conduct business in cyberspace. Today, a myriad of blockchain and cryp-tocurrency …
A survey on machine learning techniques for cyber security in the last decade
Pervasive growth and usage of the Internet and mobile applications have expanded
cyberspace. The cyberspace has become more vulnerable to automated and prolonged …
cyberspace. The cyberspace has become more vulnerable to automated and prolonged …
Automated machine learning for deep learning based malware detection
Deep learning (DL) has proven to be effective in detecting sophisticated malware that is
constantly evolving. Even though deep learning has alleviated the feature engineering …
constantly evolving. Even though deep learning has alleviated the feature engineering …
[PDF][PDF] A brief study of wannacry threat: Ransomware attack 2017
Recently Ransomware virus software spread like a cyclone winds. A cyclone wind creates
atmospheric instability; likewise ransomware creates computer data instability. Every user is …
atmospheric instability; likewise ransomware creates computer data instability. Every user is …
Machine learning aided Android malware classification
The widespread adoption of Android devices and their capability to access significant
private and confidential information have resulted in these devices being targeted by …
private and confidential information have resulted in these devices being targeted by …
Detecting Android malicious apps and categorizing benign apps with ensemble of classifiers
Android platform has dominated the markets of smart mobile devices in recent years. The
number of Android applications (apps) has seen a massive surge. Unsurprisingly, Android …
number of Android applications (apps) has seen a massive surge. Unsurprisingly, Android …
Container security: precaution levels, mitigation strategies, and research perspectives
The enterprise technique for application deployment has undergone a major transformation
during the past two decades. Using conventional techniques, software developers write …
during the past two decades. Using conventional techniques, software developers write …
Deep neural network based anomaly detection in Internet of Things network traffic tracking for the applications of future smart cities
An anomaly exposure system's foremost objective is to categorize the behavior of the system
into normal and untruthful actions. To estimate the possible incidents, the administrators of …
into normal and untruthful actions. To estimate the possible incidents, the administrators of …
A novel graph-based approach for IoT botnet detection
Abstract The Internet of things (IoT) is the extension of Internet connectivity into physical
devices and everyday objects. These IoT devices can communicate with others over the …
devices and everyday objects. These IoT devices can communicate with others over the …